30分ã§ã‚ã‹ã‚‹ãƒ‡ãƒ¼ã‚¿æŒ‡å‘アプリケーションデザイン - Data Engineering Study #18
600ページを超ãˆã‚‹æ›¸ç±ã§ã‚る「データ指å‘アプリケーションデザインã€ã®è¦ç‚¹ã‚’最近ã®è©±é¡Œã‚’交ãˆãªãŒã‚‰è§£èª¬ã—ã¾ã™ã€‚ Data Engineering Study #18 ã®ç™ºè¡¨è³‡æ–™ã§ã™ プレゼンテーション https://www.youtube.com/watch?v=ZiKWXc0fSCw …
メルカリWebã®ãƒžã‚¤ã‚¯ãƒã‚µãƒ¼ãƒ“ス化ã€ãã®4å¹´ | メルカリエンジニアリング
Author: @urahiroshi, Engineering manager of Web Platform team 2022å¹´8月4æ—¥ã€ãƒ¡ãƒ«ã‚«ãƒªã§ “web-2†ã¨å‘¼ã°ã‚Œã‚‹ã‚µãƒ¼ãƒãŒã‚·ãƒ£ãƒƒãƒˆãƒ€ã‚¦ãƒ³ã•ã‚Œã¾ã—ãŸã€‚ã“ã‚Œã¯ãƒ¡ãƒ«ã‚«ãƒªWeb版ã®é–‹ç™ºã«æºã‚ã£ã¦ã„ã‚‹ãƒãƒ¼ãƒ ã«ã¨ã£ã¦ã€ä¸€ã¤ã®åŒºåˆ‡ã‚Šã¨ãªã‚‹å‡ºæ¥äº‹ã§ã—ãŸã€‚ web-2ã¯PHPã§è¨˜è¿°ã•ã‚ŒãŸwebサーãƒã§ã€2015å¹´ã‹ã‚‰ https://www.mercari.com/jp/ é…下ã®ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã‚’é…ä¿¡ã—ã¦ã„ã¾ã—ãŸãŒã€ç¾åœ¨ã§ã¯è¤‡æ•°ã®Webマイクãƒã‚µãƒ¼ãƒ“スãŒãã®æ©Ÿèƒ½ã‚’æ‹…ã£ã¦ãŠã‚Šã€ https://www.mercari.com/jp/ é…下ã®ãƒšãƒ¼ã‚¸ã¯å¾Œç¶™ã¨ãªã‚‹Webマイクãƒã‚µãƒ¼ãƒ“スãŒé…ä¿¡ã™ã‚‹ãƒšãƒ¼ã‚¸ã¸ãƒªãƒ€ã‚¤ãƒ¬ã‚¯ãƒˆã•ã‚Œã¦ã„ã¾ã™ã€‚ メルカリWebã®ãƒžã‚¤ã‚¯ãƒã‚µãƒ¼ãƒ“ス化ã«å‘ã‘ãŸé–‹ç™ºãŒå§‹ã¾ã‚Šã€æœ€çµ‚çš„ã«web-2ãŒã‚·ãƒ£ãƒƒãƒˆãƒ€ã‚¦ãƒ³ã•ã‚Œã‚‹ã¾ã§ã€å®Ÿã«4年以上ã®æœŸé–“ãŒã‹ã‹
Life of a Request — envoy 1.32.0-dev-e1af5f documentation
Life of a Requestïƒ Below we describe the events in the life of a request passing through an Envoy proxy. We first describe how Envoy fits into the request path for a request and then the internal events that take place following the arrival of a request at the Envoy proxy from downstream. We follow the request until the corresponding dispatch upstream and the response path. Terminologyïƒ Envoy uses
Introducing Domain-Oriented Microservice Architecture
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more Introduction Recently there has been substantial discussion around the downsides of service oriented architectures and microservice architectures in particular. While only a few years ago, many people readily adopted microservice architectures due to the numerous benefi
Learning PyTorch with Examples — PyTorch Tutorials 1.0.0.dev20181001 documentation
Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series Master PyTorch basics with our engaging YouTube tutorial series
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Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ 第2版 何åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ック「Practical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootを使ã£ãŸREST API構築ã®åŸºç¤Žã‚’å¦ã‚“ã 。ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ãリリースã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 を使用ã—ã¦ã„る。ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘リリースã•ã‚Œã€é‡è¦ãªå¤‰...
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On designing and deploying internet-scale services | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic On designing and deploying internet-scale services James Hamilton LISA ’07 Want to know how to build cloud native applications? You’ll be hard-pushed to find a better collection of wisdom, best practices, and hard-won experience than this 2007 paper from James Hamilton. It’s amazi
Architecture overview — envoy 1.33.0-dev-2d06cd documentation
Introduction Architecture overview View page source Architecture overviewïƒ Introduction Terminology Threading model Listeners Listeners Listener filters HTTP HTTP connection management HTTP filters HTTP routing HTTP upgrades HTTP dynamic forward proxy HTTP/3 overview Upstream clusters Cluster manager Service discovery DNS Resolution Health checking Connection pooling Load Balancing Aggregate Clust
大è¦æ¨¡ãªã‚²ãƒ¼ãƒ サーãƒã‚’最大90%安ã„コストã§é‹ç”¨ã™ã‚‹æ–¹æ³• | Amazon Web Services
Amazon Web Services ブãƒã‚° 大è¦æ¨¡ãªã‚²ãƒ¼ãƒ サーãƒã‚’最大90%安ã„コストã§é‹ç”¨ã™ã‚‹æ–¹æ³• Fortnite: Battle Royale, Warframe, ãã—ã¦Apex Legendsãªã©æˆåŠŸã—ã¦ã„る多ãã®ãƒ“デオゲームã§ã¯ã€ãƒ—レイヤーãŒã‚²ãƒ¼ãƒ ã®ä¸€éƒ¨ã«ç„¡æ–™ã§ã‚¢ã‚¯ã‚»ã‚¹ã§ãã‚‹â€Free-to-Playâ€ãƒ¢ãƒ‡ãƒ«ã‚’採用ã—ã¦ã„ã¾ã™ã€‚ã“ã®ã‚ˆã†ãªã‚²ãƒ¼ãƒ ã¯ã€ã‚‚ã¯ã‚„低å“質ãªã‚‚ã®ã§ã¯ãªãã€ãƒ—レミアムãªå“質を必è¦ã¨ã—ã¾ã™ã€‚ビジãƒã‚¹ãƒ¢ãƒ‡ãƒ«ã¯ã‚³ã‚¹ãƒˆã®åˆ¶ç´„ã‚’å—ã‘ã¦ã„ã¾ã™ãŒã€ãã®ã‚ˆã†ãªçŠ¶æ³ã«å¯¾ã—ã¦Amazon EC2 スãƒãƒƒãƒˆã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã¯å®Ÿè¡Œå¯èƒ½ãªä½Žã‚³ã‚¹ãƒˆã®ã‚³ãƒ³ãƒ”ューティングオプションをæä¾›ã—ã¾ã™ã€‚カジュアルãªãƒžãƒ«ãƒãƒ—レイヤーゲームã¯ã‚‚ã¡ã‚ã‚“ã€ãƒžãƒ«ãƒãƒ—レイヤーゲームサーãƒã®ãƒ¯ãƒ¼ã‚¯ãƒãƒ¼ãƒ‰ã‚’実行ã™ã‚‹Amazon EKSコンテナã®ã‚ªãƒ¼ã‚±ã‚¹ãƒˆãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã§ã¯ãƒ—レイヤーã¸ã®å½±éŸ¿ã‚’最å°é™ã«æŠ‘ãˆã€ã‚³ã‚¹ãƒˆã‚’最é©åŒ–ã™
Redis at LINE
This document summarizes how LINE messaging uses Redis. It discusses: - How LINE has scaled Redis from 3 nodes in 2011 to over 14,000 nodes today to support over 25 billion messages per day. - The key ways LINE uses Redis, including for storing sequences, caches, secondary indexes, and local queues. - Challenges LINE faced in scaling their in-house Redis cluster to over 1,000 nodes and workarounds
PyTorch – Internal Architecture Tour | Terra Incognita
Update 28 Feb 2019: I added a new blog post with a slide deck containing the presentation I did for PyData Montreal. Introduction Short intro to Python extension objects in C/C++ Zero-copy PyTorch Tensor to Numpy and vice-versa Tensor Storage Shared Memory DLPack: a hope for the Deep Learning frameworks Babel Introduction This post is a tour around the PyTorch codebase, it is meant to be a guide f
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Netflix Platform Engineering — we’re just getting started
“Aren’t you done with every interesting challenge already?†I get this question in various forms a lot. During interviews. At conferences, after we present on some of our technologies and practices. At meetups and social events. You have fully migrated to the Cloud, you must be done… You created multi-regional resiliency framework, you must be done… You launched globally, you must be done… You dep
Scaling your API with rate limiters
Availability and reliability are paramount for all web applications and APIs. If you’re providing an API, chances are you’ve already experienced sudden increases in traffic that affect the quality of your service, potentially even leading to a service outage for all your users. The first few times this happens, it’s reasonable to just add more capacity to your infrastructure to accommodate user gr
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2017/02/16 Developers Summit 2017
クックパッドãŒã©ã®ã‚ˆã†ã«Microservicesã—ã¦ããŸã‹/How Cookpad shifts to Microservices
クックパッドãŒã©ã®ã‚ˆã†ã«Microservicesã—ã¦ããŸã‹/How Cookpad shifts to Microservices
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